Localize creative production without multiplying agency cycles
Explore product imagery, campaign variants, and short-form video workflows where speed, consistency, and brand control can be measured.
Enterprise AI and cloud sales professional with twelve years across direct sales, solution advisory, and GTM operations. At Salesforce, I own prospecting through close across a 500+ account territory; at SAP, I ran Korea demand management within an APAC rhythm spanning India, Japan, Singapore, and Australia. I combine complex-account selling with hands-on generative AI practice across text, image, video, and audio.
Start with measurable workflow friction, then map the right model and platform capability to a production path. These are focused entry points for discovery, not generic AI pitches.
Explore product imagery, campaign variants, and short-form video workflows where speed, consistency, and brand control can be measured.
Frame evaluation around concept development, live-operations content, trailers, localization, and repeatable creative pipelines.
Discover agent, knowledge, and multimodal application needs while aligning evaluation criteria, security stakeholders, and commercial scale.
Working hypotheses based on public product information; not representations of BytePlus customer commitments.
An enterprise territory of 500+ accounts across Korea's conglomerate affiliates cannot be covered with manual research. Each account took hours of reading disclosures, news, and org changes before a single credible email could be written. Research was the bottleneck of the entire outbound motion.
An agentic system that reads public signals about a target account, produces a structured research brief and strategy report, and drafts personalized outbound (EDM) grounded in that brief. I refined it in production, on my own quota, iterating on the process as it scaled across the territory.
Standard CRM views are built for reporting, not for working a territory where one group means a holding company, dozens of affiliates, and in-group SI relationships. I needed a view of my own pipeline that thinks in groups and whitespace, not in flat account lists.
A personal CRM app that organizes customer, deal, and contact data around group structures: which affiliates are active, where a first win can expand, and what the next action is for every living opportunity. I use it alongside the corporate CRM every working day.
One seller keeps a full conglomerate territory workable: every affiliate touch, stakeholder, and next step in one place, structured the way group-account selling actually happens.
Enterprise analytics deals stall when customers cannot picture what good looks like. Feature lists do not move manufacturing and semiconductor stakeholders; concrete, industry-shaped examples do.
A curated Tableau Public program that matches industry-specific visualization examples to each customer conversation: the right dashboard patterns for the right stakeholder at the right stage. Used in real field enablement sessions.
Workshops and on-site sessions start from concrete pictures instead of abstractions, and technical evaluation conversations reach use-case agreement faster.
I make short AI films end to end to understand how models behave inside a real creative workflow, including Seedance for motion generation.
I use GPT for story development and composition ideation, GPT Image for character sheets and scenes, Seedance and Kling for motion, and dedicated voice and music tools before final assembly. The work gives me practical experience discussing model output, consistency, iteration, and production workflow design.
An AI music video →